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ICASSP
2011
IEEE
12 years 8 months ago
An extension of the ICA model using latent variables
The Independent Component Analysis (ICA) model is extended to the case where the components are not necessarily independent: depending on the value a hidden latent process at the ...
Selwa Rafi, Marc Castella, Wojciech Pieczynski
CVPR
2011
IEEE
12 years 8 months ago
Nonlinear Shape Manifolds as Shape Priors in Level Set Segmentation and Tracking
We propose a novel nonlinear, probabilistic and variational method for adding shape information to level setbased segmentation and tracking. Unlike previous work, we represent sha...
Victor Prisacariu, Ian Reid
JMLR
2010
155views more  JMLR 2010»
12 years 11 months ago
Bayesian Gaussian Process Latent Variable Model
We introduce a variational inference framework for training the Gaussian process latent variable model and thus performing Bayesian nonlinear dimensionality reduction. This method...
Michalis Titsias, Neil D. Lawrence
ICCV
2011
IEEE
12 years 4 months ago
Learning to Cluster Using High Order Graphical Models with Latent Variables
This paper proposes a very general max-margin learning framework for distance-based clustering. To this end, it formulates clustering as a high order energy minimization problem w...
Nikos Komodakis
ACL
2009
13 years 2 months ago
Robust Approach to Abbreviating Terms: A Discriminative Latent Variable Model with Global Information
The present paper describes a robust approach for abbreviating terms. First, in order to incorporate non-local information into abbreviation generation tasks, we present both impl...
Xu Sun, Naoaki Okazaki, Jun-ichi Tsujii